Liquid AI's first decision model, served only through the Liquid API. Returns Choice, Score and Noul answers with probability distributions and zero output tokens, on the /v1/systemone request shape used by TypeSafe's SDK.
Featherless AI's open server that turns a stock Hugging Face language model into a typed-decision endpoint. It reads the next-token logits for each question and builds the Choice, Score or Noul answer itself; no classifier head is trained and no JSON is generated.
Decides
choice, score, noul, classify, route
choice, score, noul, classify, route
Architecture
d1
simple-jev
Fine-tuned from
—
google/gemma-4-26b-a4b-it
License
proprietary
apache-2.0
Availability
Hosted API
Open weights + hosted API
Hosted by
Liquid AI
Featherless AI
Input price
—
—
Decision accuracy
—
—
Calibration error
—
—
Valid action rate
—
—
Median latency
—
—
p95 latency
—
Figures are from each model’s manifest; accuracy and latency are what the publishers report, on their own suites and hardware. Add a third model.
Questions
What is the difference between d1 and simple-jev?
d1 is from Liquid AI and simple-jev from Featherless AI. d1 is only available as a hosted API; simple-jev has open weights and a hosted API. Both answer choice, score, noul, classify and route questions. d1 is licensed proprietary; simple-jev, apache-2.0.
Which is more accurate, d1 or simple-jev?
Neither publishes an accuracy figure. Test both on your own labelled examples.
Which is cheaper, d1 or simple-jev?
d1: Hosted, price not published. simple-jev: Hosted, price not published, or free to self-host. Open weights cost nothing per call beyond your own hardware.
Can I run d1 or simple-jev locally?
simple-jev yes — systemone pull featherless-ai/simple-jev downloads its weights. The other is only served as a hosted API.
